An Acceptable Consistency-Based Framework for Group Decision Making with Intuitionistic Preference Relations

被引:10
|
作者
Wang, Zhou-Jing [1 ]
Wang, Yuhong [2 ]
Li, Kevin W. [3 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Informat, Hangzhou 310018, Zhejiang, Peoples R China
[2] Jiangnan Univ, Sch Business, Wuxi 214122, Jiangsu, Peoples R China
[3] Univ Windsor, Odette Sch Business, Windsor, ON N9B 3P4, Canada
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Intuitionistic preference relation (IPR); Acceptable consistency; Weighted averaging; Aggregation; Group decision making; AGGREGATION OPERATORS; FUZZY;
D O I
10.1007/s10726-015-9438-6
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This article studies acceptable consistency of intuitionistic preference relations (IPRs) and examines how to aggregate individual IPRs into a collective judgment in a group decision making (GDM) context. A consistency index is first introduced to measure the consistency level, thereby defining acceptable consistency for IPRs. If a decision-maker is unwilling or unavailable to revise his/her judgment for an IPR with unacceptable consistency, an automated approach is developed to improve its consistency to an acceptable level. The acceptably consistent IPRs are subsequently aggregated into a group opinion by using an induced ordered weighted averaging operator. A procedure is then proposed to solve GDM problems with IPRs. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach.
引用
收藏
页码:181 / 202
页数:22
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